Jägle, E. A.: Metallische Werkstoffe in der Additiven Fertigung. Workshop "Steels for Additive Manufacturing", Stahlinstitut,VDEh, Düsseldorf, Düsseldorf, Germany (2017)
Jägle, E. A.: Phase transformation phenomena in additively produced alloys. Seminar Materials Science and Technology, Ruhr-Universität Bochum, Bochum, Germany (2017)
Jägle, E. A.: Phase transformation phenomena in additively produced alloys. Werkstoffkolloquium 2016, Deutsches Zentrum für Luft- und Raumfahrt Köln, Köln, Germany (2016)
Jägle, E. A.: Phase transformations in alloys produced by Laser Additive Manufacturing. Spezialseminar Fakultät für Werkstoffwissenschaft und Werkstofftechnologie, TU Bergakademie Freiberg, Freiberg, Germany (2016)
Jägle, E. A.: Solidification cracking during Selective Laser Melting of Inconel 738LC: origins and remedy. Multiscale Materials Modelling conference, Dijon, France (2016)
Kürnsteiner, P.; Wilms, M. B.; Weisheit, A.; Jägle, E. A.; Raabe, D.: Precipitation Reaction in a Maraging Steel during Laser Additive Manufacturing triggered by Intrinsic Heat Treatment. Materials Science and Engineering Congress, Darmstadt, Germany (2016)
Jägle, E. A.: Small variations in powder composition lead to strong differences in part properties. Alloys for Additive Manufacturing Workshop 2016, Düsseldorf, Germany (2016)
Jägle, E. A.: Alloys for Laser Additive Manufacturing: general considerations and precipitation reactions. Seminar at Institut für Werkstoff-Forschung, DLR Köln 2016, Köln, Germany (2016)
Jägle, E. A.: Precipitation Reactions in Age-Hardenable Alloys During Laser Additive Manufacturing. Seminar at EMPA (Eidgenössische Materialprüfungs- und Forschungsanstalt), Dübendorf, Switzerland (2016)
Jägle, E. A.: Alloys for and by Laser Additive Manufacturing – the basic research perspective. 2nd European Scientific Steel Panel – Metal Additive Manufacturing, Steel Institute VdEH, Düsseldorf, Germany (2015)
Jägle, E. A.: Maraging steel produced by LAM: Influence of processing on precipitation and austenite reversion. Phase Transformations in Inorganic Materials (PTM), Whistler, BC, Canada (2015)
Jägle, E. A.; Tytko, D.; Choi, P.-P.; Raabe, D.: Deformation-induced intermixing in a model multilayer system. Atom Probe Tomography & Microscopy 2014, Stuttgart, Germany (2014)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.